**Acerca de este curso: **Popularized by movies such as "A Beautiful Mind", game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. Over four weeks of lectures, this advanced course considers how to design interactions between agents in order to achieve good social outcomes. Three main topics are covered: social choice theory (i.e., collective decision making and voting systems), mechanism design, and auctions.
In the first week we consider the problem of aggregating different agents' preferences, discussing voting rules and the challenges faced in collective decision making. We present some of the most important theoretical results in the area: notably, Arrow's Theorem, which proves that there is no "perfect" voting system, and also the Gibbard-Satterthwaite and Muller-Satterthwaite Theorems. We move on to consider the problem of making collective decisions when agents are self interested and can strategically misreport their preferences. We explain "mechanism design" -- a broad framework for designing interactions between self-interested agents -- and give some key theoretical results. Our third week focuses on the problem of designing mechanisms to maximize aggregate happiness across agents, and presents the powerful family of Vickrey-Clarke-Groves mechanisms. The course wraps up with a fourth week that considers the problem of allocating scarce resources among self-interested agents, and that provides an introduction to auction theory.
You can find a full syllabus and description of the course here: http://web.stanford.edu/~jacksonm/GTOC-II-Syllabus.html
There is also a predecessor course to this one, for those who want to learn or remind themselves of the basic concepts of game theory: https://www.coursera.org/learn/game-theory-1
An intro video can be found here: http://web.stanford.edu/~jacksonm/Game-Theory-2-Intro.mp4

DC

Better than the first course. The topics were less familiar to me, so it opened a few more doors.I still feel like the math was neglected, most of the time. I don't expect every derivation, but at least an acknowledgement of where the formulas come from if one wants to derive them himself.The graded quizzes should have provided an explanation of the correct answers, I think. Sometimes that explanation made everything clearer to me (when I got the correct by mistake or by simple elimination).I really appreciate the reading material! At least I can now follow the subject more in-depth if I want, so that's very welcome.Overall, still feels like a fairly light overview, but it's a good introduction to the subjects of mechanism design and auctions, I feel.